
Data Deduplication for Efficient Storage on Cloud using Fog Computing Paradigm
Author(s) -
Shubham Sharma,
Rachna Jain,
Mrs. Pronika
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.a1595.059120
Subject(s) - data deduplication , cloud computing , computer science , fog computing , computer data storage , redundancy (engineering) , distributed computing , data redundancy , cloud storage , database , computer security , operating system
Cloud services have taken the IT world by storm by making its services available to everyone over large geographic area. With the increasing amount of data generate every minute it has become increasing difficult to manage resources and the storage. Thus, data compression techniques like data de duplication that aims at executing the redundancy of data and forming chunks of data that can be stored on a distributed system can be proved to a logistic solution. But when it comes to cloud problems like security has always been a major issue. In order to eliminate these challenges, we need to implement a layer of fog computing they would deal with the shortcomings of cloud computing and at the same time present a filtration front before the incoming data.